MacBook Pro (13-inch, 2022)
Geekbench AI Score
3463
Single Precision Score
27541
Half Precision Score
30696
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | November 14 2024 10:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
14284
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15512
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19124
310.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23575
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103865
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105657
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
15400
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17255
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33596
399.2 IPS |
|
|
Face Detection (Q)
|
100% |
42500
505.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87284
672.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107228
837.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18694
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200017
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189852
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4093
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39773
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48443
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6479
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7090
122.5 IPS |
