Mac16,12
Geekbench AI Score
10325
Single Precision Score
12226
Half Precision Score
10302
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | March 16 2026 09:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (HP)
|
100% |
5121
952.4 IPS |
|
|
Image Classification (Q)
|
96% |
4837
903.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7116
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7912
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7742
125.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27160
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30986
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30141
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4746
376.5 IPS |
|
|
Object Detection (HP)
|
100% |
5317
421.8 IPS |
|
|
Object Detection (Q)
|
91% |
5149
411.5 IPS |
|
|
Face Detection (SP)
|
100% |
13125
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
17760
211.0 IPS |
|
|
Face Detection (Q)
|
100% |
16305
193.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20076
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22289
171.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20874
163.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55961
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67567
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65615
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11287
416.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11745
433.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10297
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5496
94.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6089
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1720
29.7 IPS |
