Mac17,2
Geekbench AI Score
5291
Single Precision Score
40125
Half Precision Score
55839
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 31 2025 06:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
16880
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23153
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23945
388.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33170
537.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10979
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176399
205.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
331183
388.2 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18382
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25446
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
46913
557.4 IPS |
|
|
Face Detection (Q)
|
100% |
65854
782.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9066
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109718
845.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177053
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27348
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
270123
347.2 IPS |
|
|
Style Transfer (Q)
|
96% |
373786
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61319
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96734
3.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17423
300.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18479
319.3 IPS |
