MacBook Pro (13-inch, 2022)
Geekbench ML Score
9364
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 31 2025 06:52 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.47 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3470
649.4 IPS |
|
|
Image Classification (F16)
|
100% |
10434
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
10554
1.97 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1109
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1810
30.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1816
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22933
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
91684
111.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96818
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2028
151.4 IPS |
|
|
Object Detection (F16)
|
100% |
5303
395.9 IPS |
|
|
Object Detection (I8)
|
97% |
2808
209.6 IPS |
|
|
Face Detection (F32)
|
100% |
9253
110.0 IPS |
|
|
Face Detection (F16)
|
97% |
16363
194.6 IPS |
|
|
Face Detection (I8)
|
96% |
20455
243.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15802
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
51313
397.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
48154
373.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28629
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
138529
182.2 IPS |
|
|
Style Transfer (I8)
|
100% |
136745
179.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8085
288.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35616
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36922
1.32 KIPS |
|
|
Text Classification (F32)
|
100% |
2161
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
2848
4.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3073
4.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
992
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1376
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
906
16.7 IPS |
