MacBook Pro (13-inch, 2022)
Geekbench AI Score
3429
Single Precision Score
5979
Half Precision Score
4859
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 13 2025 12:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2481
461.4 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2745
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6811
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15127
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12936
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2800
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5887
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3405
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10939
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7709
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18605
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29006
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24085
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6396
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6502
112.4 IPS |
