Mac16,12
Geekbench AI Score
8963
Single Precision Score
10394
Half Precision Score
9753
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | zachking |
| Upload Date | August 27 2025 03:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4573
850.4 IPS |
|
|
Image Classification (HP)
|
100% |
4862
904.1 IPS |
|
|
Image Classification (Q)
|
96% |
4571
853.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7207
116.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7753
125.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7648
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28011
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29899
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29581
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.3 IPS |
|
|
Object Detection (HP)
|
100% |
5236
415.3 IPS |
|
|
Object Detection (Q)
|
92% |
4751
379.2 IPS |
|
|
Face Detection (SP)
|
100% |
12664
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
16574
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
13195
156.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20310
156.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21911
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20278
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55938
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66442
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64593
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11492
424.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11492
424.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10293
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1626
28.1 IPS |
