Mac16,11
Geekbench AI Score
14394
Single Precision Score
16407
Half Precision Score
14076
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7640
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
8104
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
6852
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12020
194.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12951
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13323
216.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56756
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59133
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55845
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7211
571.9 IPS |
|
|
Object Detection (HP)
|
100% |
7654
607.1 IPS |
|
|
Object Detection (Q)
|
91% |
6459
516.1 IPS |
|
|
Face Detection (SP)
|
100% |
26075
309.8 IPS |
|
|
Face Detection (HP)
|
100% |
26713
317.4 IPS |
|
|
Face Detection (Q)
|
100% |
20826
247.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33249
256.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36467
281.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29231
228.5 IPS |
|
|
Style Transfer (SP)
|
100% |
123832
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134881
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
127045
163.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22790
841.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24496
904.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19249
710.8 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1215
21.0 IPS |
