Mac16,12
Geekbench AI Score
9288
Single Precision Score
11048
Half Precision Score
9799
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 19 2025 07:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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% |
4430
823.8 IPS |
|
|
Image Classification (HP)
|
100% |
4782
889.3 IPS |
|
|
Image Classification (Q)
|
96% |
4438
828.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7118
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7736
125.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7566
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27657
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29863
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29188
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4568
362.3 IPS |
|
|
Object Detection (HP)
|
100% |
5168
409.9 IPS |
|
|
Object Detection (Q)
|
92% |
4732
377.7 IPS |
|
|
Face Detection (SP)
|
100% |
12541
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
16470
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
13268
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20538
158.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22343
172.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20612
161.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56524
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67526
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64846
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11560
426.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12704
469.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11000
406.2 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1602
27.7 IPS |
