Mac16,11
Geekbench AI Score
5770
Single Precision Score
37982
Half Precision Score
51796
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 01:11 PM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
18733
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
24022
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23921
387.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33060
535.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18785
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
124521
145.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
234009
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
20684
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25256
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
43780
520.2 IPS |
|
|
Face Detection (Q)
|
100% |
65081
773.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8821
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
113442
874.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
181211
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35172
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
240102
308.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304479
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7011
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47436
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84286
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5692
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5716
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17060
293.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17189
297.0 IPS |
