MacBook Pro (13-inch, 2022)
Geekbench ML Score
5825
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 07:16 PM |
| Views | 7 |
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% |
3409
638.0 IPS |
|
|
Image Classification (F16)
|
100% |
3346
626.1 IPS |
|
|
Image Classification (I8)
|
99% |
3444
644.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1326
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1181
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23494
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25570
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25551
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2796
208.8 IPS |
|
|
Object Detection (F16)
|
100% |
2867
214.1 IPS |
|
|
Object Detection (I8)
|
97% |
2664
198.9 IPS |
|
|
Face Detection (F32)
|
100% |
9133
108.6 IPS |
|
|
Face Detection (F16)
|
98% |
10670
126.9 IPS |
|
|
Face Detection (I8)
|
97% |
10687
127.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15315
118.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
18122
140.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17159
133.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40818
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47645
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47657
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7365
263.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7172
256.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6768
241.7 IPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3468
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3399
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
912
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
993
18.3 IPS |
|
|
Machine Translation (I8)
|
99% |
902
16.6 IPS |
