Mac16,11
Geekbench AI Score
5760
Single Precision Score
37552
Half Precision Score
50506
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | farheinheigt |
| Upload Date | November 17 2024 03:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
18750
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
23327
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23602
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32818
532.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18921
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123545
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231435
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
20431
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24342
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
40684
483.4 IPS |
|
|
Face Detection (Q)
|
100% |
63554
755.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8647
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111696
860.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178962
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35267
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238495
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304923
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43550
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80311
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6232
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5421
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5716
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16975
292.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16588
286.7 IPS |
