Mac16,12
Geekbench AI Score
9008
Single Precision Score
10592
Half Precision Score
10493
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | December 20 2025 07:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4371
812.9 IPS |
|
|
Image Classification (HP)
|
100% |
4855
902.9 IPS |
|
|
Image Classification (Q)
|
94% |
4412
824.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7031
114.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7830
126.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7795
126.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26887
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30984
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30067
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4586
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
5131
407.0 IPS |
|
|
Object Detection (Q)
|
90% |
4824
385.7 IPS |
|
|
Face Detection (SP)
|
100% |
12806
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
17659
209.8 IPS |
|
|
Face Detection (Q)
|
100% |
13753
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19872
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22250
171.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19910
155.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55580
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67336
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
65248
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11391
420.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11377
420.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10315
380.9 IPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3117
53.9 IPS |
