Mac15,12
Geekbench AI Score
4172
Single Precision Score
7019
Half Precision Score
5659
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ProhorTaim |
| Upload Date | September 29 2024 07:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.6 IPS |
|
|
Image Classification (Q)
|
96% |
2059
384.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3312
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8843
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17346
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15031
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3563
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3981
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7226
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13565
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9348
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22472
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34074
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28277
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5184
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5911
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5900
102.0 IPS |
