Mac16,11
Geekbench AI Score
5801
Single Precision Score
37055
Half Precision Score
50432
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 22 2024 09:50 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
17977
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22553
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23232
376.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32239
522.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18948
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123488
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229251
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
20337
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24124
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
44913
533.7 IPS |
|
|
Face Detection (Q)
|
100% |
64742
769.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111907
862.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
182694
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
35581
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234388
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303726
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46602
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78786
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5742
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16404
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16694
288.5 IPS |
