MacBook Pro (14-inch, 2023)
Geekbench ML Score
7987
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 09:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5586
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
5878
1.10 KIPS |
|
|
Image Classification (I8)
|
99% |
5105
955.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2260
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2205
36.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2202
36.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
55705
67.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
58082
70.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
56971
69.0 IPS |
|
|
Object Detection (F32)
|
100% |
3576
267.0 IPS |
|
|
Object Detection (F16)
|
100% |
3739
279.1 IPS |
|
|
Object Detection (I8)
|
97% |
3535
263.9 IPS |
|
|
Face Detection (F32)
|
100% |
18944
225.2 IPS |
|
|
Face Detection (F16)
|
98% |
19555
232.5 IPS |
|
|
Face Detection (I8)
|
97% |
18332
218.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
27398
212.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
27847
216.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
26954
209.0 IPS |
|
|
Style Transfer (F32)
|
100% |
102602
135.0 IPS |
|
|
Style Transfer (F16)
|
100% |
116659
153.5 IPS |
|
|
Style Transfer (I8)
|
100% |
115554
152.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13318
475.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12767
455.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11759
419.9 IPS |
|
|
Text Classification (F32)
|
100% |
498
716.3 IPS |
|
|
Text Classification (F16)
|
100% |
690
991.3 IPS |
|
|
Text Classification (I8)
|
96% |
725
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
952
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
945
17.4 IPS |
|
|
Machine Translation (I8)
|
99% |
853
15.7 IPS |
