Mac16,11
Geekbench AI Score
15257
Single Precision Score
16836
Half Precision Score
12590
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jcontarino |
| Upload Date | November 09 2024 08:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.06 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8057
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8667
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8579
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12198
197.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13324
216.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
13226
214.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56986
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59367
69.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
55169
64.6 IPS |
|
|
Object Detection (SP)
|
100% |
7479
593.2 IPS |
|
|
Object Detection (HP)
|
100% |
8097
642.3 IPS |
|
|
Object Detection (Q)
|
91% |
6529
521.7 IPS |
|
|
Face Detection (SP)
|
100% |
25764
306.1 IPS |
|
|
Face Detection (HP)
|
100% |
30358
360.7 IPS |
|
|
Face Detection (Q)
|
100% |
21847
259.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34904
268.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37430
288.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
4943
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
126313
162.4 IPS |
|
|
Style Transfer (HP)
|
100% |
138772
178.4 IPS |
|
|
Style Transfer (Q)
|
100% |
138596
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24205
893.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25490
941.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19993
740.7 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1585
27.4 IPS |
