Mac17,2
Geekbench AI Score
5311
Single Precision Score
41772
Half Precision Score
58246
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ashtonraethel |
| Upload Date | February 08 2026 10:32 AM |
| Views | 4 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
18975
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
25816
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23832
386.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32715
530.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10967
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177115
206.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
333471
390.8 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
19195
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
27039
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4749
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46836
556.5 IPS |
|
|
Face Detection (Q)
|
100% |
66243
787.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9071
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111239
857.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
180968
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27475
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270771
348.1 IPS |
|
|
Style Transfer (Q)
|
96% |
376874
486.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65207
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101552
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6764
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5027
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17817
306.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19020
328.7 IPS |
