MacBook Pro (13-inch, 2022)
Geekbench ML Score
5913
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 06:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
3435
642.8 IPS |
|
|
Image Classification (F16)
|
100% |
3495
654.0 IPS |
|
|
Image Classification (I8)
|
99% |
3481
651.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1540
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1476
24.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1560
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
21756
26.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24867
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24940
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
2406
179.6 IPS |
|
|
Object Detection (F16)
|
100% |
2886
215.5 IPS |
|
|
Object Detection (I8)
|
97% |
1504
112.3 IPS |
|
|
Face Detection (F32)
|
100% |
8368
99.5 IPS |
|
|
Face Detection (F16)
|
98% |
7989
95.0 IPS |
|
|
Face Detection (I8)
|
97% |
11197
133.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16446
127.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17757
137.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
18426
142.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41126
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
48186
63.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47665
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8472
302.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8614
307.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6926
247.4 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3465
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3487
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1108
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1132
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1116
20.5 IPS |
