MacBook Pro (13-inch, 2022)
Geekbench ML Score
6237
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 20 2026 06:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5053d) |
| 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 | 3.16 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
637.9 IPS |
|
|
Image Classification (F16)
|
100% |
3379
632.4 IPS |
|
|
Image Classification (I8)
|
99% |
2414
451.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1275
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1230
20.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1223
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23072
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25126
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25541
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2710
202.3 IPS |
|
|
Object Detection (F16)
|
100% |
2831
211.4 IPS |
|
|
Object Detection (I8)
|
97% |
2540
189.6 IPS |
|
|
Face Detection (F32)
|
100% |
8784
104.4 IPS |
|
|
Face Detection (F16)
|
98% |
10439
124.1 IPS |
|
|
Face Detection (I8)
|
97% |
10673
126.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16403
127.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17664
137.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17957
139.3 IPS |
|
|
Style Transfer (F32)
|
100% |
38601
50.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47734
62.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47984
63.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9725
347.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7217
257.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10020
357.8 IPS |
|
|
Text Classification (F32)
|
100% |
3609
5.19 KIPS |
|
|
Text Classification (F16)
|
100% |
5733
8.24 KIPS |
|
|
Text Classification (I8)
|
96% |
6205
8.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1135
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1011
18.6 IPS |
|
|
Machine Translation (I8)
|
99% |
986
18.2 IPS |
