MacBook Pro (13-inch, 2022)
Geekbench AI Score
7504
Single Precision Score
8247
Half Precision Score
7856
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 13 2025 03:29 AM |
| Views | 3 |
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% |
3641
677.1 IPS |
|
|
Image Classification (HP)
|
100% |
3609
671.2 IPS |
|
|
Image Classification (Q)
|
96% |
3375
630.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5700
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5871
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5628
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24438
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26205
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25316
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (HP)
|
100% |
3746
297.1 IPS |
|
|
Object Detection (Q)
|
92% |
3341
266.7 IPS |
|
|
Face Detection (SP)
|
100% |
10236
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
11946
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
9761
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16586
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17782
137.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
16250
127.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42375
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48559
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47120
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9841
363.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10206
376.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8828
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2173
37.6 IPS |
