MacBook Pro (13-inch, 2022)
Geekbench ML Score
6154
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 06:10 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.30 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% |
3416
639.3 IPS |
|
|
Image Classification (F16)
|
100% |
3375
631.6 IPS |
|
|
Image Classification (I8)
|
99% |
3373
631.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1555
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1547
25.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1332
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23443
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25479
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25821
31.3 IPS |
|
|
Object Detection (F32)
|
100% |
2815
210.2 IPS |
|
|
Object Detection (F16)
|
100% |
2926
218.4 IPS |
|
|
Object Detection (I8)
|
97% |
2802
209.2 IPS |
|
|
Face Detection (F32)
|
100% |
8634
102.7 IPS |
|
|
Face Detection (F16)
|
98% |
10507
124.9 IPS |
|
|
Face Detection (I8)
|
97% |
10509
125.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15939
123.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17327
134.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17103
132.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41328
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47340
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
46934
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9598
342.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10202
364.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10486
374.5 IPS |
|
|
Text Classification (F32)
|
100% |
2069
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3308
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3298
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1041
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1017
18.7 IPS |
