MacBook Pro (13-inch, 2022)
Geekbench ML Score
5363
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 07:00 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
3461
647.7 IPS |
|
|
Image Classification (F16)
|
100% |
3493
653.7 IPS |
|
|
Image Classification (I8)
|
99% |
2999
561.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1365
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1436
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1327
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23077
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25001
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24161
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2790
208.3 IPS |
|
|
Object Detection (F16)
|
100% |
2880
215.0 IPS |
|
|
Object Detection (I8)
|
97% |
2805
209.4 IPS |
|
|
Face Detection (F32)
|
100% |
9403
111.8 IPS |
|
|
Face Detection (F16)
|
98% |
10756
127.9 IPS |
|
|
Face Detection (I8)
|
97% |
10774
128.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12783
99.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10577
82.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17551
136.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41281
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47640
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46584
61.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5064
180.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7098
253.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7745
276.6 IPS |
|
|
Text Classification (F32)
|
100% |
2157
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1348
1.94 KIPS |
|
|
Text Classification (I8)
|
96% |
1216
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1005
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1017
18.7 IPS |
