MacBook Pro (13-inch, 2022)
Geekbench ML Score
4972
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 13 2025 06:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.46 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% |
3044
569.7 IPS |
|
|
Image Classification (F16)
|
100% |
2691
503.6 IPS |
|
|
Image Classification (I8)
|
99% |
2337
437.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1218
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
750
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1075
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
21499
26.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24055
29.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
19416
23.5 IPS |
|
|
Object Detection (F32)
|
100% |
2078
155.1 IPS |
|
|
Object Detection (F16)
|
100% |
2496
186.3 IPS |
|
|
Object Detection (I8)
|
97% |
1760
131.4 IPS |
|
|
Face Detection (F32)
|
100% |
4309
51.2 IPS |
|
|
Face Detection (F16)
|
98% |
7677
91.3 IPS |
|
|
Face Detection (I8)
|
97% |
9432
112.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15087
117.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15250
118.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
14757
114.4 IPS |
|
|
Style Transfer (F32)
|
100% |
37376
49.2 IPS |
|
|
Style Transfer (F16)
|
100% |
44120
58.0 IPS |
|
|
Style Transfer (I8)
|
100% |
41720
54.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8955
319.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5629
201.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6586
235.2 IPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3407
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3431
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
881
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
873
16.1 IPS |
