Mac16,11
Geekbench AI Score
5800
Single Precision Score
37306
Half Precision Score
50414
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 22 2024 09:40 AM |
| 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, 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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
18151
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24126
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23240
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32254
522.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18931
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123577
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229752
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
20072
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24192
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4602
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
45038
535.1 IPS |
|
|
Face Detection (Q)
|
100% |
64751
769.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8864
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
106764
822.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178543
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35255
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239569
308.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303907
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46963
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79674
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5759
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16841
290.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16414
283.7 IPS |
