Mac16,11
Geekbench AI Score
13568
Single Precision Score
15201
Half Precision Score
13732
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 07:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6827
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7483
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6771
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12222
198.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12708
206.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11987
194.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45496
53.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48037
56.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46715
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6395
507.2 IPS |
|
|
Object Detection (HP)
|
100% |
7072
561.0 IPS |
|
|
Object Detection (Q)
|
92% |
6347
506.6 IPS |
|
|
Face Detection (SP)
|
100% |
22870
271.8 IPS |
|
|
Face Detection (HP)
|
100% |
24786
294.5 IPS |
|
|
Face Detection (Q)
|
100% |
21003
249.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30629
236.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32798
252.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
29406
229.9 IPS |
|
|
Style Transfer (SP)
|
100% |
104182
133.9 IPS |
|
|
Style Transfer (HP)
|
100% |
112851
145.1 IPS |
|
|
Style Transfer (Q)
|
96% |
110273
142.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17131
632.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17187
634.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15756
581.8 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5165
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1802
31.1 IPS |
