Mac16,11
Geekbench AI Score
2030
Single Precision Score
35336
Half Precision Score
47944
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 06:58 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 | 3.54 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
17374
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21872
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21707
351.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30546
495.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7026
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
111809
130.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
209243
245.2 IPS |
|
|
Object Detection (SP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
16380
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
19465
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
43012
511.1 IPS |
|
|
Face Detection (Q)
|
100% |
61736
733.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3251
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98411
758.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
154195
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
14136
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
222584
286.1 IPS |
|
|
Style Transfer (Q)
|
96% |
291872
376.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1561
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43337
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77394
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
910
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
6676
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6619
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16121
277.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16570
286.3 IPS |
