MacBook Pro (13-inch, 2022)
Geekbench ML Score
5379
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 13 2025 09:43 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.44 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% |
3266
611.2 IPS |
|
|
Image Classification (F16)
|
100% |
3434
642.6 IPS |
|
|
Image Classification (I8)
|
99% |
3495
653.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1266
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1450
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1361
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22902
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24555
29.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
22117
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
1278
95.4 IPS |
|
|
Object Detection (F16)
|
100% |
2087
155.8 IPS |
|
|
Object Detection (I8)
|
97% |
2789
208.2 IPS |
|
|
Face Detection (F32)
|
100% |
9372
111.4 IPS |
|
|
Face Detection (F16)
|
98% |
10738
127.7 IPS |
|
|
Face Detection (I8)
|
97% |
6483
77.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16471
127.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17393
134.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17418
135.1 IPS |
|
|
Style Transfer (F32)
|
100% |
34400
45.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23920
31.5 IPS |
|
|
Style Transfer (I8)
|
100% |
33230
43.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7260
259.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7649
273.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9189
328.2 IPS |
|
|
Text Classification (F32)
|
100% |
2090
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3493
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3481
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
920
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1082
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
804
14.8 IPS |
