MacBook Pro (13-inch, 2022)
Geekbench AI Score
2027
Single Precision Score
11715
Half Precision Score
13094
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MutnuyHavy |
| Upload Date | September 18 2024 04:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1174
218.4 IPS |
|
|
Image Classification (HP)
|
100% |
7181
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7498
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4970
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8266
134.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5970
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
88213
102.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
88992
104.3 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.2 IPS |
|
|
Object Detection (HP)
|
99% |
8306
660.7 IPS |
|
|
Object Detection (Q)
|
93% |
8798
702.0 IPS |
|
|
Face Detection (SP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
10950
130.1 IPS |
|
|
Face Detection (Q)
|
100% |
12744
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3639
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
48691
375.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
58764
459.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10567
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
137457
176.7 IPS |
|
|
Style Transfer (Q)
|
95% |
125883
162.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19389
716.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24989
922.7 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.4 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.8 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2345
40.5 IPS |
