Mac16,11
Geekbench AI Score
5749
Single Precision Score
36937
Half Precision Score
51132
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wave |
| Upload Date | November 09 2024 06:08 PM |
| Views | 9 |
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 | 4.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
19163
3.56 KIPS |
|
|
Image Classification (Q)
|
97% |
24196
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23217
376.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33753
547.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19011
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
118660
138.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
235830
276.4 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
20659
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25375
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
41581
494.1 IPS |
|
|
Face Detection (Q)
|
100% |
64107
761.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8895
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110068
848.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177665
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35417
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239868
308.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298247
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47677
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83118
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4943
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5357
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5701
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16754
288.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16526
285.6 IPS |
