Mac16,11
Geekbench AI Score
12526
Single Precision Score
13982
Half Precision Score
12441
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MattKir |
| Upload Date | November 19 2024 08:53 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6609
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6999
1.30 KIPS |
|
|
Image Classification (Q)
|
97% |
5972
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10583
171.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11021
178.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11195
181.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
45941
53.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48121
56.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
45613
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6582
522.1 IPS |
|
|
Object Detection (HP)
|
100% |
7177
569.3 IPS |
|
|
Object Detection (Q)
|
91% |
5826
465.6 IPS |
|
|
Face Detection (SP)
|
100% |
22874
271.8 IPS |
|
|
Face Detection (HP)
|
100% |
24938
296.3 IPS |
|
|
Face Detection (Q)
|
100% |
18446
219.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30546
235.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32568
250.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
27172
212.4 IPS |
|
|
Style Transfer (SP)
|
100% |
104211
134.0 IPS |
|
|
Style Transfer (HP)
|
100% |
112745
144.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106391
137.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16061
593.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16839
621.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13714
506.4 IPS |
|
|
Text Classification (SP)
|
100% |
2869
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5006
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5008
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1366
23.6 IPS |
