Mac16,11
Geekbench AI Score
5792
Single Precision Score
37215
Half Precision Score
50679
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:31 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 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
18003
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24129
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23221
376.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32591
528.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18951
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123471
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231232
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
20647
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
24639
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
45170
536.7 IPS |
|
|
Face Detection (Q)
|
100% |
63056
749.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8819
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
106579
821.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
181422
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35422
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239206
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302573
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7050
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47782
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80979
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5803
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16421
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16458
284.4 IPS |
