Mac15,13
Geekbench AI Score
7329
Single Precision Score
9004
Half Precision Score
8050
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | January 11 2025 09:41 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.72 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4302
800.0 IPS |
|
|
Image Classification (HP)
|
100% |
4662
866.9 IPS |
|
|
Image Classification (Q)
|
97% |
4041
754.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4135
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5859
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6303
102.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24865
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26566
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25226
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
4332
343.6 IPS |
|
|
Object Detection (HP)
|
100% |
4828
383.0 IPS |
|
|
Object Detection (Q)
|
91% |
4096
327.3 IPS |
|
|
Face Detection (SP)
|
100% |
11206
133.1 IPS |
|
|
Face Detection (HP)
|
100% |
14069
167.2 IPS |
|
|
Face Detection (Q)
|
100% |
10664
126.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18578
143.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20526
158.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17734
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51499
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
60410
77.7 IPS |
|
|
Style Transfer (Q)
|
96% |
56283
72.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11036
407.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11775
434.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9454
349.1 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5226
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
826
14.3 IPS |
