Mac16,11
Geekbench AI Score
1885
Single Precision Score
36138
Half Precision Score
47946
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:00 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
100% |
17937
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
21796
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21718
352.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30623
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6204
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
115087
134.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
206768
242.3 IPS |
|
|
Object Detection (SP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (HP)
|
100% |
16632
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
19568
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
45026
535.0 IPS |
|
|
Face Detection (Q)
|
100% |
64825
770.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3887
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100434
773.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
140624
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
13228
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
222655
286.2 IPS |
|
|
Style Transfer (Q)
|
96% |
285468
368.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43236
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77141
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
6986
9.32 KIPS |
|
|
Text Classification (Q)
|
93% |
7039
9.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16755
288.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16825
290.8 IPS |
