MacBook Pro (13-inch, 2022)
Geekbench ML Score
5320
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 06:43 PM |
| Views | 6 |
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 | 3.48 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% |
3532
660.9 IPS |
|
|
Image Classification (F16)
|
100% |
3388
634.0 IPS |
|
|
Image Classification (I8)
|
99% |
3443
644.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1038
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1315
22.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1163
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22983
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24447
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
23008
27.9 IPS |
|
|
Object Detection (F32)
|
100% |
1091
81.4 IPS |
|
|
Object Detection (F16)
|
100% |
2088
155.9 IPS |
|
|
Object Detection (I8)
|
97% |
2541
189.7 IPS |
|
|
Face Detection (F32)
|
100% |
9267
110.2 IPS |
|
|
Face Detection (F16)
|
98% |
10712
127.4 IPS |
|
|
Face Detection (I8)
|
97% |
7507
89.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10391
80.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17124
132.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
16829
130.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41591
54.7 IPS |
|
|
Style Transfer (F16)
|
100% |
40149
52.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24115
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9433
336.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7170
256.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7486
267.4 IPS |
|
|
Text Classification (F32)
|
100% |
2085
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3618
5.20 KIPS |
|
|
Text Classification (I8)
|
96% |
3461
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
973
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
951
17.5 IPS |
