Mac16,11
Geekbench AI Score
2269
Single Precision Score
36176
Half Precision Score
48435
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:05 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% |
632
117.5 IPS |
|
|
Image Classification (HP)
|
100% |
17653
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22116
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22022
357.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28291
458.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7321
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
115489
134.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
221111
259.2 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
16795
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
18975
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
43419
515.9 IPS |
|
|
Face Detection (Q)
|
100% |
63543
755.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4878
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101289
780.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
156785
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
13905
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225515
289.9 IPS |
|
|
Style Transfer (Q)
|
96% |
289637
373.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42352
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77323
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
6958
9.29 KIPS |
|
|
Text Classification (Q)
|
93% |
7001
9.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17423
300.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17331
299.5 IPS |
