Mac17,2
Geekbench AI Score
5351
Single Precision Score
41715
Half Precision Score
58863
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 06 2026 08:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
18482
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
26546
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24024
389.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33278
539.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10979
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176493
205.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
329288
385.9 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
18303
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
27200
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
46884
557.1 IPS |
|
|
Face Detection (Q)
|
100% |
66313
787.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9166
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111204
856.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
181707
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27640
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
273658
351.8 IPS |
|
|
Style Transfer (Q)
|
96% |
373633
482.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5972
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67463
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102066
3.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
6537
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
7453
10.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4970
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17682
304.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18429
318.5 IPS |
