MacBook Pro (13-inch, 2022)
Geekbench ML Score
5985
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 03 2026 07:46 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.47 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% |
3367
630.0 IPS |
|
|
Image Classification (F16)
|
100% |
3188
596.5 IPS |
|
|
Image Classification (I8)
|
99% |
3360
628.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1586
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1161
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23031
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24947
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25847
31.3 IPS |
|
|
Object Detection (F32)
|
100% |
2889
215.7 IPS |
|
|
Object Detection (F16)
|
100% |
2998
223.8 IPS |
|
|
Object Detection (I8)
|
97% |
2904
216.8 IPS |
|
|
Face Detection (F32)
|
100% |
9719
115.6 IPS |
|
|
Face Detection (F16)
|
98% |
10647
126.6 IPS |
|
|
Face Detection (I8)
|
97% |
9942
118.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16508
128.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17902
138.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
16854
130.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40762
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
48054
63.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47915
63.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6771
241.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8121
290.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8335
297.7 IPS |
|
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3064
4.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3445
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1111
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1171
21.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1173
21.6 IPS |
