Mac16,7
Geekbench AI Score
5744
Single Precision Score
36290
Half Precision Score
48950
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:45 PM |
| Views | 3 |
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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
17262
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
22187
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22985
372.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32163
521.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18828
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123330
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231069
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
19833
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23470
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
44664
530.7 IPS |
|
|
Face Detection (Q)
|
100% |
62315
740.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8814
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105895
815.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177748
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35763
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236171
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301419
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7031
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46004
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78353
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4933
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4821
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5711
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16104
277.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16183
279.7 IPS |
