MacBook Pro (13-inch, 2022)
Geekbench AI Score
7560
Single Precision Score
8423
Half Precision Score
7792
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 13 2025 12:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3750
697.4 IPS |
|
|
Image Classification (HP)
|
100% |
3683
684.9 IPS |
|
|
Image Classification (Q)
|
96% |
3403
635.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5720
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5828
94.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5594
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24402
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26192
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25412
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3614
286.7 IPS |
|
|
Object Detection (HP)
|
100% |
3743
296.9 IPS |
|
|
Object Detection (Q)
|
92% |
3361
268.3 IPS |
|
|
Face Detection (SP)
|
100% |
10339
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
12182
144.7 IPS |
|
|
Face Detection (Q)
|
100% |
9957
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16464
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17794
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
16705
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
41976
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49065
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47124
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9842
363.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10181
376.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8908
328.9 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3838
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1896
32.8 IPS |
