MacBook Pro (13-inch, 2022)
Geekbench ML Score
4894
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 05:57 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.15 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% |
2523
472.0 IPS |
|
|
Image Classification (F16)
|
100% |
3053
571.2 IPS |
|
|
Image Classification (I8)
|
99% |
2686
502.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
559
9.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
1054
17.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1096
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21352
25.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25321
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25102
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2510
187.4 IPS |
|
|
Object Detection (F16)
|
100% |
2476
184.8 IPS |
|
|
Object Detection (I8)
|
97% |
2676
199.8 IPS |
|
|
Face Detection (F32)
|
100% |
7959
94.6 IPS |
|
|
Face Detection (F16)
|
98% |
9085
108.0 IPS |
|
|
Face Detection (I8)
|
97% |
10230
121.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15183
117.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16222
125.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17456
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
38069
50.1 IPS |
|
|
Style Transfer (F16)
|
100% |
45721
60.1 IPS |
|
|
Style Transfer (I8)
|
100% |
39849
52.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4458
159.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6600
235.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7664
273.7 IPS |
|
|
Text Classification (F32)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1468
2.11 KIPS |
|
|
Text Classification (I8)
|
96% |
1453
2.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
850
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
962
17.7 IPS |
|
|
Machine Translation (I8)
|
99% |
908
16.7 IPS |
