Mac16,7
Geekbench AI Score
15608
Single Precision Score
17599
Half Precision Score
15634
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 07:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
7664
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8238
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
6995
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12261
198.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13267
215.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13538
219.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56889
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59304
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55999
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7327
581.2 IPS |
|
|
Object Detection (HP)
|
100% |
7872
624.4 IPS |
|
|
Object Detection (Q)
|
91% |
6493
518.8 IPS |
|
|
Face Detection (SP)
|
100% |
26554
315.5 IPS |
|
|
Face Detection (HP)
|
100% |
28630
340.2 IPS |
|
|
Face Detection (Q)
|
100% |
20398
242.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33564
258.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36191
278.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
30411
237.7 IPS |
|
|
Style Transfer (SP)
|
100% |
124240
159.7 IPS |
|
|
Style Transfer (HP)
|
100% |
136061
174.9 IPS |
|
|
Style Transfer (Q)
|
96% |
128756
166.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23522
868.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25078
926.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20158
744.3 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5322
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2958
51.1 IPS |
