Mac15,12
Geekbench AI Score
7513
Single Precision Score
9007
Half Precision Score
8039
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jaketbeverage |
| Upload Date | October 16 2024 03:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4387
815.9 IPS |
|
|
Image Classification (HP)
|
100% |
4719
877.7 IPS |
|
|
Image Classification (Q)
|
97% |
3488
651.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4323
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6011
97.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6253
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25089
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26594
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24915
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
4440
352.2 IPS |
|
|
Object Detection (HP)
|
100% |
4888
387.7 IPS |
|
|
Object Detection (Q)
|
91% |
3849
307.6 IPS |
|
|
Face Detection (SP)
|
100% |
11780
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
14801
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
10782
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18728
144.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20557
158.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
16424
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50733
65.2 IPS |
|
|
Style Transfer (HP)
|
100% |
60275
77.5 IPS |
|
|
Style Transfer (Q)
|
96% |
56459
72.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11102
410.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11899
439.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9234
341.0 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1132
19.6 IPS |
