Mac16,11
Geekbench AI Score
5732
Single Precision Score
36036
Half Precision Score
48017
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wave |
| Upload Date | November 15 2024 06:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| 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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
17527
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22094
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23082
374.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31960
518.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18884
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123246
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229244
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19692
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23667
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
44310
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
53845
639.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8795
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105528
813.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175942
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35398
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238353
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303439
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6996
258.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45523
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77901
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4697
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4625
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5647
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15786
271.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16423
283.8 IPS |
