Mac16,11
Geekbench AI Score
5332
Single Precision Score
37567
Half Precision Score
49295
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 07:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
17800
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
22339
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23301
377.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32158
521.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17193
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122887
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
229642
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
20001
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
25130
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
44781
532.1 IPS |
|
|
Face Detection (Q)
|
100% |
55203
655.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112483
866.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176586
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25314
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238532
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298458
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5951
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46778
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81166
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5993
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5273
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5530
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16305
280.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16414
283.7 IPS |
