MacBook Pro (13-inch, 2022)
Geekbench AI Score
6149
Single Precision Score
6326
Half Precision Score
2074
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 17 2025 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3480
647.3 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.1 IPS |
|
|
Image Classification (Q)
|
97% |
2631
491.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3975
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4935
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4794
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24272
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26281
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
23701
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3551
281.7 IPS |
|
|
Object Detection (HP)
|
100% |
3561
282.4 IPS |
|
|
Object Detection (Q)
|
92% |
2783
222.1 IPS |
|
|
Face Detection (SP)
|
100% |
9851
117.1 IPS |
|
|
Face Detection (HP)
|
100% |
11272
133.9 IPS |
|
|
Face Detection (Q)
|
100% |
7625
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16319
125.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17704
136.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
106.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42630
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48154
61.9 IPS |
|
|
Style Transfer (Q)
|
96% |
45041
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9501
350.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10058
371.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7743
285.9 IPS |
|
|
Text Classification (SP)
|
100% |
1235
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.7 IPS |
|
|
Text Classification (Q)
|
93% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
887
15.3 IPS |
