Mac16,7
Geekbench AI Score
5753
Single Precision Score
36872
Half Precision Score
49390
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 04:22 AM |
| Views | 4 |
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 | Mac16,7 |
| 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% |
2080
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
18026
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22794
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23207
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32126
520.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18872
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123395
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231553
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
20508
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
23997
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
44617
530.1 IPS |
|
|
Face Detection (Q)
|
100% |
54772
650.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8773
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111755
861.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
178925
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35635
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237605
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302552
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7084
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46883
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78724
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5740
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16342
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16581
286.5 IPS |
