MacBook Pro (13-inch, 2022)
Geekbench ML Score
6060
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 27 2025 06:42 PM |
| Views | 7 |
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 | 3.48 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% |
3404
636.9 IPS |
|
|
Image Classification (F16)
|
100% |
3494
653.9 IPS |
|
|
Image Classification (I8)
|
99% |
3402
636.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1474
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1587
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1603
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23095
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25007
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24604
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2180
162.8 IPS |
|
|
Object Detection (F16)
|
100% |
2758
205.9 IPS |
|
|
Object Detection (I8)
|
97% |
2396
178.8 IPS |
|
|
Face Detection (F32)
|
100% |
8991
106.9 IPS |
|
|
Face Detection (F16)
|
98% |
10134
120.5 IPS |
|
|
Face Detection (I8)
|
97% |
10263
122.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15771
122.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17427
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
18072
140.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40129
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
45807
60.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47227
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9947
355.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8657
309.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10129
361.7 IPS |
|
|
Text Classification (F32)
|
100% |
2108
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3301
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3544
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1023
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1048
19.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1033
19.0 IPS |
