MacBook Pro (13-inch, 2022)
Geekbench ML Score
5164
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 19 2025 07:07 PM |
| Views | 2 |
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 | 3.28 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% |
2285
427.6 IPS |
|
|
Image Classification (F16)
|
100% |
3001
561.6 IPS |
|
|
Image Classification (I8)
|
99% |
3057
572.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1187
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1294
21.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1179
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21916
26.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24468
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24204
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2071
154.6 IPS |
|
|
Object Detection (F16)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (I8)
|
97% |
2556
190.8 IPS |
|
|
Face Detection (F32)
|
100% |
8776
104.3 IPS |
|
|
Face Detection (F16)
|
98% |
8432
100.3 IPS |
|
|
Face Detection (I8)
|
97% |
4580
54.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
13969
108.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
16766
130.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
16164
125.4 IPS |
|
|
Style Transfer (F32)
|
100% |
31218
41.1 IPS |
|
|
Style Transfer (F16)
|
100% |
40966
53.9 IPS |
|
|
Style Transfer (I8)
|
100% |
45516
59.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5248
187.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8272
295.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6905
246.6 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3478
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3454
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
818
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
861
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
846
15.6 IPS |
