Mac16,11
Geekbench AI Score
5729
Single Precision Score
36872
Half Precision Score
49498
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 02:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17419
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22480
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23146
375.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32383
525.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18805
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122997
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
228806
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
20038
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24391
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4494
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
43752
519.9 IPS |
|
|
Face Detection (Q)
|
100% |
57112
678.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8704
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107265
826.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177708
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35262
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234584
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302812
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46611
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78955
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5589
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16159
278.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16156
279.2 IPS |
