MacBook Pro (13-inch, 2022)
Geekbench ML Score
5805
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 05:10 PM |
| Views | 6 |
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 | 3.46 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% |
3410
638.1 IPS |
|
|
Image Classification (F16)
|
100% |
3441
643.9 IPS |
|
|
Image Classification (I8)
|
99% |
3445
644.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1366
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1490
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1081
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23731
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25720
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25266
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2389
178.3 IPS |
|
|
Object Detection (F16)
|
100% |
2905
216.9 IPS |
|
|
Object Detection (I8)
|
97% |
2768
206.6 IPS |
|
|
Face Detection (F32)
|
100% |
9330
110.9 IPS |
|
|
Face Detection (F16)
|
98% |
10837
128.9 IPS |
|
|
Face Detection (I8)
|
97% |
10734
127.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16408
127.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17792
138.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17272
133.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40440
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47548
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
43551
57.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7166
255.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7075
252.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6920
247.1 IPS |
|
|
Text Classification (F32)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3518
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3457
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
900
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
927
17.1 IPS |
|
|
Machine Translation (I8)
|
99% |
908
16.7 IPS |
