Mac17,6
Geekbench AI Score
5094
Single Precision Score
44801
Half Precision Score
60339
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 11:36 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2383
443.1 IPS |
|
|
Image Classification (HP)
|
100% |
20360
3.79 KIPS |
|
|
Image Classification (Q)
|
97% |
26719
4.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26150
423.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
36833
597.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11528
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
184003
214.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
338500
396.7 IPS |
|
|
Object Detection (SP)
|
100% |
2855
226.4 IPS |
|
|
Object Detection (HP)
|
100% |
22872
1.81 KIPS |
|
|
Object Detection (Q)
|
91% |
27794
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5340
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
50211
596.6 IPS |
|
|
Face Detection (Q)
|
100% |
71146
845.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9531
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
138713
1.07 KIPS |
|
|
Depth Estimation (Q)
|
85% |
214640
1.68 KIPS |
|
|
Style Transfer (SP)
|
100% |
27070
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
289031
371.6 IPS |
|
|
Style Transfer (Q)
|
96% |
399472
515.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67120
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104140
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
19063
328.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19356
334.5 IPS |
