Mac16,10
Geekbench AI Score
4694
Single Precision Score
35669
Half Precision Score
51278
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 16 2024 08:41 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
17616
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
25589
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21639
350.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30097
487.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10047
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123845
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232173
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
17923
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25283
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3915
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
37737
448.4 IPS |
|
|
Face Detection (Q)
|
100% |
60418
717.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98999
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169017
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25364
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232031
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297165
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49582
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86043
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6058
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16102
277.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17578
303.8 IPS |
