Mac16,11
Geekbench AI Score
5802
Single Precision Score
37964
Half Precision Score
50020
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 04:07 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 24B2082) |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
18059
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
24095
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23248
376.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32282
523.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18953
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123480
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231611
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
20449
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
23875
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
44884
533.3 IPS |
|
|
Face Detection (Q)
|
100% |
64720
769.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111969
862.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
180305
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35793
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
239482
307.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302260
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46434
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81609
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4845
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5816
100.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16776
289.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16346
282.5 IPS |
