MacBook Pro (13-inch, 2022)
Geekbench ML Score
6184
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 07:49 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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% |
3406
637.4 IPS |
|
|
Image Classification (F16)
|
100% |
3360
628.7 IPS |
|
|
Image Classification (I8)
|
99% |
3524
659.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1468
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1533
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1564
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23765
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25137
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25288
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2720
203.1 IPS |
|
|
Object Detection (F16)
|
100% |
2912
217.4 IPS |
|
|
Object Detection (I8)
|
97% |
2696
201.3 IPS |
|
|
Face Detection (F32)
|
100% |
9088
108.1 IPS |
|
|
Face Detection (F16)
|
98% |
10826
128.7 IPS |
|
|
Face Detection (I8)
|
97% |
10916
129.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15393
119.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17593
136.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17544
136.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41024
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
42946
56.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47446
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7679
274.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8740
312.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8496
303.4 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3576
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3561
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1244
22.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1190
21.9 IPS |
