Mac16,7
Geekbench AI Score
15548
Single Precision Score
17508
Half Precision Score
15493
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Capitola |
| Upload Date | November 10 2024 05:09 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7582
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8156
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7074
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12247
198.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13129
212.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13358
216.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57083
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59463
69.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
55920
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7213
572.1 IPS |
|
|
Object Detection (HP)
|
100% |
7677
609.0 IPS |
|
|
Object Detection (Q)
|
91% |
6498
519.3 IPS |
|
|
Face Detection (SP)
|
100% |
26002
309.0 IPS |
|
|
Face Detection (HP)
|
100% |
29617
351.9 IPS |
|
|
Face Detection (Q)
|
100% |
21061
250.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33626
259.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36598
282.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29874
233.5 IPS |
|
|
Style Transfer (SP)
|
100% |
124395
159.9 IPS |
|
|
Style Transfer (HP)
|
100% |
135461
174.1 IPS |
|
|
Style Transfer (Q)
|
96% |
128525
165.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23667
873.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24876
918.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20036
739.8 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5320
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2842
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2694
46.6 IPS |
