MacBook Pro (13-inch, 2022)
Geekbench AI Score
3505
Single Precision Score
6080
Half Precision Score
4898
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 09 2025 01:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.2 IPS |
|
|
Image Classification (Q)
|
96% |
1781
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2898
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6897
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15019
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12986
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6192
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3572
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11708
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8093
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18849
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28884
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24052
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4102
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3639
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3829
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5987
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5860
101.3 IPS |
