Mac16,11
Geekbench AI Score
5717
Single Precision Score
36935
Half Precision Score
50572
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 02:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
17463
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
23013
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23223
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32167
521.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18833
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123195
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232398
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
20228
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24599
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4420
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
42009
499.2 IPS |
|
|
Face Detection (Q)
|
100% |
63326
752.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8753
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111431
858.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177689
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35484
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237343
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301924
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46721
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79493
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5906
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5648
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16179
278.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16213
280.2 IPS |
