Mac16,11
Geekbench AI Score
5778
Single Precision Score
36557
Half Precision Score
48801
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 04:52 PM |
| Views | 17 |
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 | 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
17817
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
21978
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23172
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32173
521.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18904
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123468
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229974
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19758
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23512
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
44615
530.1 IPS |
|
|
Face Detection (Q)
|
100% |
61258
727.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8894
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106614
821.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179424
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35630
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238629
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301935
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46040
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75955
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4986
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4906
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5734
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16247
279.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16204
280.0 IPS |
