MacBook Pro (13-inch, 2022)
Geekbench ML Score
5132
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2026 06:53 PM |
| Views | 7 |
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 | 3.35 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% |
2781
520.4 IPS |
|
|
Image Classification (F16)
|
100% |
2737
512.2 IPS |
|
|
Image Classification (I8)
|
99% |
2652
496.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1179
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1162
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1120
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22570
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24479
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
18773
22.7 IPS |
|
|
Object Detection (F32)
|
100% |
1810
135.1 IPS |
|
|
Object Detection (F16)
|
100% |
2719
203.0 IPS |
|
|
Object Detection (I8)
|
97% |
2644
197.4 IPS |
|
|
Face Detection (F32)
|
100% |
6973
82.9 IPS |
|
|
Face Detection (F16)
|
98% |
10322
122.7 IPS |
|
|
Face Detection (I8)
|
97% |
10303
122.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15309
118.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
14259
110.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8190
63.5 IPS |
|
|
Style Transfer (F32)
|
100% |
32755
43.1 IPS |
|
|
Style Transfer (F16)
|
100% |
46144
60.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46352
61.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6442
230.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8401
300.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3607
128.8 IPS |
|
|
Text Classification (F32)
|
100% |
2120
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3451
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3470
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
963
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1108
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
993
18.3 IPS |
