MacBook Pro (13-inch, 2022)
Geekbench ML Score
6067
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 06:12 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
3016
564.4 IPS |
|
|
Image Classification (F16)
|
100% |
3207
600.2 IPS |
|
|
Image Classification (I8)
|
99% |
3457
646.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1501
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1576
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1305
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23710
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25651
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25306
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2834
211.5 IPS |
|
|
Object Detection (F16)
|
100% |
2939
219.4 IPS |
|
|
Object Detection (I8)
|
97% |
2849
212.7 IPS |
|
|
Face Detection (F32)
|
100% |
8945
106.4 IPS |
|
|
Face Detection (F16)
|
98% |
10896
129.6 IPS |
|
|
Face Detection (I8)
|
97% |
10953
130.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16449
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17594
136.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17857
138.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40578
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47659
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47731
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8183
292.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9537
340.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8874
316.9 IPS |
|
|
Text Classification (F32)
|
100% |
2060
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3303
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3318
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1073
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1105
20.3 IPS |
