Mac16,12
Geekbench AI Score
9048
Single Precision Score
10922
Half Precision Score
9807
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | RYAN770 |
| Upload Date | October 25 2025 02:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4547
845.5 IPS |
|
|
Image Classification (HP)
|
100% |
4880
907.5 IPS |
|
|
Image Classification (Q)
|
96% |
4535
847.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6936
112.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7616
123.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7559
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27681
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29732
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29331
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4591
364.1 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4725
377.1 IPS |
|
|
Face Detection (SP)
|
100% |
12610
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
15817
187.9 IPS |
|
|
Face Detection (Q)
|
100% |
13394
159.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20429
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22602
174.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20465
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56876
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66816
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63866
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11691
431.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11532
425.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10395
383.8 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1738
30.0 IPS |
