MacBook Pro (13-inch, 2022)
Geekbench ML Score
6363
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 03 2026 07:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.21 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% |
3212
601.1 IPS |
|
|
Image Classification (F16)
|
100% |
3215
601.5 IPS |
|
|
Image Classification (I8)
|
99% |
3417
639.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1299
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1445
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22755
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
23712
28.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25141
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2560
191.1 IPS |
|
|
Object Detection (F16)
|
100% |
2916
217.7 IPS |
|
|
Object Detection (I8)
|
97% |
2717
202.9 IPS |
|
|
Face Detection (F32)
|
100% |
8976
106.7 IPS |
|
|
Face Detection (F16)
|
98% |
10744
127.7 IPS |
|
|
Face Detection (I8)
|
97% |
10791
128.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16098
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17578
136.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17274
134.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40649
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47845
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47676
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9042
322.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10279
367.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8796
314.1 IPS |
|
|
Text Classification (F32)
|
100% |
3675
5.28 KIPS |
|
|
Text Classification (F16)
|
100% |
5932
8.53 KIPS |
|
|
Text Classification (I8)
|
96% |
5556
7.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1135
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1161
21.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1112
20.5 IPS |
