Mac16,7
Geekbench AI Score
5737
Single Precision Score
36662
Half Precision Score
50802
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 08:18 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17694
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22636
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23196
376.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32306
523.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18877
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123414
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230760
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
20137
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24649
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
44846
532.9 IPS |
|
|
Face Detection (Q)
|
100% |
64119
761.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8864
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
107574
828.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179146
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35364
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237048
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303583
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46388
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79406
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4957
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5715
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16358
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17009
293.9 IPS |
