Mac17,2
Geekbench AI Score
5288
Single Precision Score
42137
Half Precision Score
59107
Quantized Score
Geekbench AI 1.5.0 Pro for macOS AArch64
Result Information
| User | dami12345678 |
| Upload Date | November 08 2025 03:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
18580
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24946
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24215
392.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34151
553.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10835
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
177939
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
329507
386.2 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
18771
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26895
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4766
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
46969
558.1 IPS |
|
|
Face Detection (Q)
|
100% |
67420
801.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111955
862.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
191418
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
27022
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
272760
350.6 IPS |
|
|
Style Transfer (Q)
|
96% |
375952
485.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66791
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103147
3.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6798
9.07 KIPS |
|
|
Text Classification (Q)
|
93% |
7347
9.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18032
310.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18749
324.0 IPS |
