MacBook Pro (13-inch, 2022)
Geekbench ML Score
5455
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 08:24 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.08 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% |
2741
512.8 IPS |
|
|
Image Classification (F16)
|
100% |
3208
600.2 IPS |
|
|
Image Classification (I8)
|
99% |
3065
573.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1296
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1241
20.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
983
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23335
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25055
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
25031
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
2341
174.8 IPS |
|
|
Object Detection (F16)
|
100% |
1660
123.9 IPS |
|
|
Object Detection (I8)
|
97% |
2811
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
9247
109.9 IPS |
|
|
Face Detection (F16)
|
98% |
10582
125.8 IPS |
|
|
Face Detection (I8)
|
97% |
8146
96.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8124
63.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17732
137.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
15435
119.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40331
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
44402
58.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47969
63.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8441
301.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6967
248.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6866
245.2 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3425
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3418
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1134
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
983
18.1 IPS |
