MacBook Pro (13-inch, 2022) - AI - GPU MacBook Pro (13-inch, 2022)
Geekbench AI Score
7209
Single Precision Score
8139
Half Precision Score
7174
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ghostiman |
| Upload Date | December 13 2024 11:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
3727
693.2 IPS |
|
|
Image Classification (HP)
|
100% |
3702
688.5 IPS |
|
|
Image Classification (Q)
|
97% |
3084
575.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3935
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5046
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5154
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24464
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26392
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24513
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3731
295.9 IPS |
|
|
Object Detection (HP)
|
100% |
3788
300.4 IPS |
|
|
Object Detection (Q)
|
91% |
3245
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
10502
124.8 IPS |
|
|
Face Detection (HP)
|
100% |
12369
147.0 IPS |
|
|
Face Detection (Q)
|
100% |
8508
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17069
131.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18283
140.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
15141
118.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42504
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49035
63.0 IPS |
|
|
Style Transfer (Q)
|
96% |
45612
58.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10017
369.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10285
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8131
300.2 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3775
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1585
27.4 IPS |
