MacBook Pro (13-inch, 2022)
Geekbench ML Score
5596
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 08:22 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
3400
636.3 IPS |
|
|
Image Classification (F16)
|
100% |
3447
645.1 IPS |
|
|
Image Classification (I8)
|
99% |
3461
647.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1356
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1473
24.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1487
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23542
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25666
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25302
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2887
215.6 IPS |
|
|
Object Detection (I8)
|
97% |
2823
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
9477
112.7 IPS |
|
|
Face Detection (F16)
|
98% |
10723
127.5 IPS |
|
|
Face Detection (I8)
|
97% |
6129
72.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16354
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17763
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
14397
111.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41081
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47693
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47624
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5248
187.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4159
148.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6062
216.5 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3496
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3538
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
916
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
908
16.7 IPS |
