MacBook Pro (13-inch, 2022)
Geekbench ML Score
5920
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 21 2025 05:06 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3281
613.9 IPS |
|
|
Image Classification (F16)
|
100% |
3372
631.0 IPS |
|
|
Image Classification (I8)
|
99% |
3328
622.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1553
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1360
22.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1272
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22924
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25262
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25424
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2813
210.0 IPS |
|
|
Object Detection (F16)
|
100% |
2783
207.8 IPS |
|
|
Object Detection (I8)
|
97% |
2614
195.2 IPS |
|
|
Face Detection (F32)
|
100% |
8677
103.2 IPS |
|
|
Face Detection (F16)
|
98% |
10342
123.0 IPS |
|
|
Face Detection (I8)
|
97% |
10203
121.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15951
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17270
133.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17403
135.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40270
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47458
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47785
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9288
331.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9128
326.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7971
284.7 IPS |
|
|
Text Classification (F32)
|
100% |
2035
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3367
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3069
4.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
961
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
900
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1011
18.6 IPS |
