MacBook Pro (13-inch, 2022)
Geekbench ML Score
5422
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 06:15 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
3498
654.6 IPS |
|
|
Image Classification (F16)
|
100% |
2922
546.9 IPS |
|
|
Image Classification (I8)
|
99% |
2531
473.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1163
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1053
17.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1224
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
20992
25.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
21703
26.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
23152
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
2602
194.3 IPS |
|
|
Object Detection (F16)
|
100% |
2597
193.9 IPS |
|
|
Object Detection (I8)
|
97% |
2434
181.7 IPS |
|
|
Face Detection (F32)
|
100% |
8227
97.8 IPS |
|
|
Face Detection (F16)
|
98% |
9413
111.9 IPS |
|
|
Face Detection (I8)
|
97% |
9148
108.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14221
110.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
16115
125.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
16116
125.0 IPS |
|
|
Style Transfer (F32)
|
100% |
35070
46.1 IPS |
|
|
Style Transfer (F16)
|
100% |
38994
51.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47709
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7141
255.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7756
277.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9421
336.5 IPS |
|
|
Text Classification (F32)
|
100% |
2077
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3199
4.60 KIPS |
|
|
Text Classification (I8)
|
96% |
3449
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
839
15.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1027
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
895
16.5 IPS |
