Mac16,11
Geekbench AI Score
5759
Single Precision Score
37933
Half Precision Score
51067
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | November 27 2024 02:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
18577
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
24180
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23422
379.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32750
530.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18744
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123725
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
226205
265.1 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
20831
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
24857
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
44528
529.1 IPS |
|
|
Face Detection (Q)
|
100% |
64431
765.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
112497
866.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181724
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35517
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238911
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303283
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7054
260.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47717
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81878
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5681
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5475
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5778
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16959
292.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17020
294.1 IPS |
