Mac16,7
Geekbench AI Score
5747
Single Precision Score
35941
Half Precision Score
47926
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 11:51 PM |
| Views | 3 |
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 | 4.50 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
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
17406
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21535
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23066
373.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31961
518.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18967
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123080
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
228351
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
19280
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
22824
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
44215
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
63089
749.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8725
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110320
850.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175601
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
35816
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233184
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301151
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45176
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76279
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4700
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4476
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5714
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15632
269.3 IPS |
|
|
Machine Translation (Q)
|
98% |
15648
270.4 IPS |
