Mac17,2
Geekbench AI Score
13671
Single Precision Score
25584
Half Precision Score
24437
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Fyrpm |
| Upload Date | December 16 2025 10:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6281
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11021
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
9819
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10253
166.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16905
274.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17285
280.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39624
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103083
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
111476
130.7 IPS |
|
|
Object Detection (SP)
|
100% |
6442
511.0 IPS |
|
|
Object Detection (HP)
|
100% |
11780
934.4 IPS |
|
|
Object Detection (Q)
|
93% |
10027
799.9 IPS |
|
|
Face Detection (SP)
|
100% |
18497
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
34143
405.7 IPS |
|
|
Face Detection (Q)
|
100% |
26514
315.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28631
220.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55845
430.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
53177
415.2 IPS |
|
|
Style Transfer (SP)
|
100% |
81979
105.4 IPS |
|
|
Style Transfer (HP)
|
100% |
190318
244.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210648
271.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16240
599.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33200
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30648
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7874
135.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7916
136.8 IPS |
