Mac16,7
Geekbench AI Score
5717
Single Precision Score
35743
Half Precision Score
47976
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 10:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
17135
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21308
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22759
368.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31924
517.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18678
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123049
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
228259
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19268
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
22873
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
44252
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
63114
749.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8808
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104310
803.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175434
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35366
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238082
306.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302128
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6984
257.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45283
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76955
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4741
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4547
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15604
268.8 IPS |
|
|
Machine Translation (Q)
|
98% |
15542
268.6 IPS |
