Mac16,11
Geekbench AI Score
15516
Single Precision Score
17376
Half Precision Score
15305
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 08:15 PM |
| Views | 3 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7817
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8225
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
6990
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12178
197.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13315
215.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13456
218.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56826
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59096
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56004
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7260
575.8 IPS |
|
|
Object Detection (HP)
|
100% |
7799
618.6 IPS |
|
|
Object Detection (Q)
|
91% |
6506
519.9 IPS |
|
|
Face Detection (SP)
|
100% |
25983
308.7 IPS |
|
|
Face Detection (HP)
|
100% |
27341
324.9 IPS |
|
|
Face Detection (Q)
|
100% |
20079
238.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33133
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35956
277.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29192
228.1 IPS |
|
|
Style Transfer (SP)
|
100% |
124201
159.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134462
172.9 IPS |
|
|
Style Transfer (Q)
|
96% |
127997
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23206
856.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24087
889.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19728
728.5 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5322
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5148
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2701
46.7 IPS |
