Mac16,12
Geekbench AI Score
8682
Single Precision Score
10301
Half Precision Score
9967
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | alessaba |
| Upload Date | December 06 2025 10:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4610
857.4 IPS |
|
|
Image Classification (HP)
|
100% |
5001
930.1 IPS |
|
|
Image Classification (Q)
|
96% |
4506
841.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7163
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7784
126.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7678
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27160
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31029
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30115
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4542
360.3 IPS |
|
|
Object Detection (HP)
|
100% |
5160
409.3 IPS |
|
|
Object Detection (Q)
|
92% |
4769
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
12274
145.8 IPS |
|
|
Face Detection (HP)
|
100% |
16468
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
13181
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19734
152.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21978
169.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20127
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54804
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66011
84.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64087
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11256
415.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11444
422.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10161
375.2 IPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5778
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2009
34.7 IPS |
