MacBook Pro (13-inch, 2022)
Geekbench ML Score
5885
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 31 2025 06:19 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
2966
555.1 IPS |
|
|
Image Classification (F16)
|
100% |
3396
635.5 IPS |
|
|
Image Classification (I8)
|
99% |
3434
642.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1599
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1606
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1599
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23370
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25040
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25154
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
1744
130.2 IPS |
|
|
Object Detection (F16)
|
100% |
1484
110.8 IPS |
|
|
Object Detection (I8)
|
97% |
2843
212.2 IPS |
|
|
Face Detection (F32)
|
100% |
9300
110.6 IPS |
|
|
Face Detection (F16)
|
98% |
10542
125.3 IPS |
|
|
Face Detection (I8)
|
97% |
10374
123.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16214
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17367
134.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17378
134.8 IPS |
|
|
Style Transfer (F32)
|
100% |
37595
49.5 IPS |
|
|
Style Transfer (F16)
|
100% |
43278
56.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46384
61.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8276
295.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8470
302.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8800
314.3 IPS |
|
|
Text Classification (F32)
|
100% |
2124
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3395
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3427
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1161
21.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1115
20.5 IPS |
