Mac16,11
Geekbench AI Score
5713
Single Precision Score
37198
Half Precision Score
49829
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kdm |
| Upload Date | November 18 2024 03:47 AM |
| Views | 20 |
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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
18259
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23006
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22500
364.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32234
522.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18759
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122971
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231861
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
20038
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24479
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4448
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
44464
528.3 IPS |
|
|
Face Detection (Q)
|
100% |
54775
650.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8759
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111144
856.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
178672
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
34680
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236809
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302463
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7021
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46862
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80918
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5572
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16540
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16680
288.2 IPS |
