Mac16,11
Geekbench AI Score
5775
Single Precision Score
36731
Half Precision Score
49761
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
17474
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22098
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23149
375.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32171
521.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18890
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123532
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230036
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
19807
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24384
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
44749
531.7 IPS |
|
|
Face Detection (Q)
|
100% |
64644
768.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8864
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112271
865.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
178585
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35667
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238877
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304432
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7015
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46160
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80389
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5003
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5087
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5754
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16299
280.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16245
280.7 IPS |
