Mac16,2
Geekbench AI Score
7356
Single Precision Score
8465
Half Precision Score
7868
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 07:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,2 |
| Model ID | Mac16,2 |
| Motherboard | Mac16,2 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4034
750.1 IPS |
|
|
Image Classification (HP)
|
100% |
4273
794.7 IPS |
|
|
Image Classification (Q)
|
97% |
3734
696.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5798
94.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5959
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22888
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24214
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23143
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
4413
350.1 IPS |
|
|
Object Detection (HP)
|
100% |
4701
372.9 IPS |
|
|
Object Detection (Q)
|
91% |
4014
320.8 IPS |
|
|
Face Detection (SP)
|
100% |
11917
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
14321
170.2 IPS |
|
|
Face Detection (Q)
|
100% |
10301
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18903
145.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20537
158.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17262
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49431
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
55966
71.9 IPS |
|
|
Style Transfer (Q)
|
96% |
52758
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9823
362.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10570
390.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8389
309.8 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5366
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1015
17.5 IPS |
