Mac16,12
Geekbench AI Score
8689
Single Precision Score
10348
Half Precision Score
9527
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | galexandrov |
| Upload Date | July 11 2025 04:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4402
818.7 IPS |
|
|
Image Classification (HP)
|
100% |
4964
923.1 IPS |
|
|
Image Classification (Q)
|
96% |
4434
828.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6964
112.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7808
126.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7577
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25773
30.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30098
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
29515
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4445
352.6 IPS |
|
|
Object Detection (HP)
|
100% |
5112
405.5 IPS |
|
|
Object Detection (Q)
|
92% |
4716
376.4 IPS |
|
|
Face Detection (SP)
|
100% |
12075
143.5 IPS |
|
|
Face Detection (HP)
|
100% |
16209
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
11513
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18941
145.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21206
163.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
19513
152.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49182
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63005
81.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58945
76.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10598
391.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11201
413.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9736
359.5 IPS |
|
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5392
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1882
32.5 IPS |
