Mac16,11
Geekbench AI Score
5770
Single Precision Score
37524
Half Precision Score
50817
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 02 2024 08:51 AM |
| Views | 76 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
18213
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
24111
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23185
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32144
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18880
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123061
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230016
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
20526
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25218
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44581
529.7 IPS |
|
|
Face Detection (Q)
|
100% |
61939
736.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8831
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112083
863.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
178299
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35360
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238286
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304050
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7029
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46656
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80244
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5700
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5733
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16870
290.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16634
287.5 IPS |
