Mac16,11
Geekbench AI Score
12541
Single Precision Score
14141
Half Precision Score
12408
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | November 09 2024 06:05 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6641
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7400
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6169
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10507
170.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11145
180.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11283
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45697
53.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
48066
56.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
45564
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
6690
530.7 IPS |
|
|
Object Detection (HP)
|
100% |
7027
557.4 IPS |
|
|
Object Detection (Q)
|
91% |
5790
462.7 IPS |
|
|
Face Detection (SP)
|
100% |
22499
267.3 IPS |
|
|
Face Detection (HP)
|
100% |
24837
295.1 IPS |
|
|
Face Detection (Q)
|
100% |
18255
216.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30604
235.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33090
254.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
26633
208.2 IPS |
|
|
Style Transfer (SP)
|
100% |
103771
133.4 IPS |
|
|
Style Transfer (HP)
|
100% |
112291
144.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106145
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16361
604.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17296
638.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13734
507.1 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5249
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5191
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1281
22.1 IPS |
