MacBook Pro (13-inch, 2022)
Geekbench ML Score
5124
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 22 2025 07:22 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.48 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% |
3433
642.4 IPS |
|
|
Image Classification (F16)
|
100% |
3495
653.9 IPS |
|
|
Image Classification (I8)
|
99% |
3490
653.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1495
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1531
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1443
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23050
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
24728
29.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25194
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2804
209.3 IPS |
|
|
Object Detection (F16)
|
100% |
1441
107.6 IPS |
|
|
Object Detection (I8)
|
97% |
2770
206.8 IPS |
|
|
Face Detection (F32)
|
100% |
9616
114.3 IPS |
|
|
Face Detection (F16)
|
98% |
10065
119.7 IPS |
|
|
Face Detection (I8)
|
97% |
5257
62.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16152
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17137
132.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
16953
131.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40088
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46508
61.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47864
63.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7418
264.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7441
265.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6280
224.3 IPS |
|
|
Text Classification (F32)
|
100% |
769
1.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1413
2.03 KIPS |
|
|
Text Classification (I8)
|
96% |
1421
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
972
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
892
16.4 IPS |
|
|
Machine Translation (I8)
|
99% |
887
16.3 IPS |
