Mac16,11
Geekbench AI Score
5779
Single Precision Score
37825
Half Precision Score
51429
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | November 27 2024 01:32 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
18835
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
24058
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23410
379.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32951
534.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18849
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123756
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232061
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
20622
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25010
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44161
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
64009
760.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8716
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112726
868.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180058
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35412
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237862
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304596
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7045
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47255
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81773
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5766
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5804
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16849
290.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16999
293.8 IPS |
