MacBook Pro (13-inch, 2022)
Geekbench ML Score
5694
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2025 06:23 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3314
620.1 IPS |
|
|
Image Classification (F16)
|
100% |
2965
554.8 IPS |
|
|
Image Classification (I8)
|
99% |
3467
648.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1400
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1508
25.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1500
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22980
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24761
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25282
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2478
185.0 IPS |
|
|
Object Detection (F16)
|
100% |
2949
220.2 IPS |
|
|
Object Detection (I8)
|
97% |
2816
210.2 IPS |
|
|
Face Detection (F32)
|
100% |
9425
112.1 IPS |
|
|
Face Detection (F16)
|
98% |
10728
127.6 IPS |
|
|
Face Detection (I8)
|
97% |
10743
127.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15921
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9961
77.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17369
134.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40999
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47467
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47312
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5433
194.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7005
250.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7333
261.9 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3507
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3520
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
930
17.1 IPS |
|
|
Machine Translation (I8)
|
99% |
881
16.2 IPS |
