Mac17,2
Geekbench AI Score
5301
Single Precision Score
43164
Half Precision Score
59520
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 14 2025 01:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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% |
2246
417.7 IPS |
|
|
Image Classification (HP)
|
100% |
19234
3.58 KIPS |
|
|
Image Classification (Q)
|
97% |
26007
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24087
390.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33175
537.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10861
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
179165
209.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
331807
388.9 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
20114
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
27654
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
4709
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
47609
565.7 IPS |
|
|
Face Detection (Q)
|
100% |
68256
811.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9107
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113432
873.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
191370
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
27451
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
273806
352.0 IPS |
|
|
Style Transfer (Q)
|
96% |
377146
486.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66392
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103744
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
7475
9.98 KIPS |
|
|
Text Classification (Q)
|
93% |
7193
9.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18326
315.7 IPS |
|
|
Machine Translation (Q)
|
98% |
19176
331.4 IPS |
