MacBook Pro (13-inch, 2022)
Geekbench AI Score
3464
Single Precision Score
26135
Half Precision Score
29245
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 23 2025 09:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
14554
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15327
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19346
313.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24069
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
103243
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104478
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
15441
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17204
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
30297
360.0 IPS |
|
|
Face Detection (Q)
|
100% |
42677
507.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87167
671.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108490
847.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18641
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204398
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191549
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39861
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48625
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3787
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3757
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4066
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4260
73.6 IPS |
