Mac16,11
Geekbench AI Score
5738
Single Precision Score
36364
Half Precision Score
49249
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MattKir |
| Upload Date | November 19 2024 09:01 AM |
| Views | 14 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
17417
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21650
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23233
376.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31878
516.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18902
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123142
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229317
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
19197
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23388
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44345
526.9 IPS |
|
|
Face Detection (Q)
|
100% |
63710
757.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8790
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105345
811.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175946
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
34672
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
239031
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301705
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7114
262.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45807
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77016
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5218
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5361
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5675
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15839
272.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16243
280.7 IPS |
