MacBook Pro (13-inch, 2022)
Geekbench ML Score
5339
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 28 2025 03:21 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
3167
592.7 IPS |
|
|
Image Classification (F16)
|
100% |
3191
597.1 IPS |
|
|
Image Classification (I8)
|
99% |
3185
596.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1273
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22769
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24682
29.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24781
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2678
200.0 IPS |
|
|
Object Detection (F16)
|
100% |
2515
187.8 IPS |
|
|
Object Detection (I8)
|
97% |
2396
178.8 IPS |
|
|
Face Detection (F32)
|
100% |
9058
107.7 IPS |
|
|
Face Detection (F16)
|
98% |
10370
123.3 IPS |
|
|
Face Detection (I8)
|
97% |
10362
123.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15898
123.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17065
132.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17111
132.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39249
51.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46394
61.0 IPS |
|
|
Style Transfer (I8)
|
100% |
46851
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6564
234.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6712
239.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6971
248.9 IPS |
|
|
Text Classification (F32)
|
100% |
1078
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1258
1.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3523
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
905
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1006
18.5 IPS |
|
|
Machine Translation (I8)
|
99% |
939
17.3 IPS |
