Mac16,9
Geekbench AI Score
5568
Single Precision Score
37355
Half Precision Score
50317
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | June 19 2025 07:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
18303
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23929
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22751
368.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31290
507.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17826
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122622
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229416
268.9 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
19483
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24303
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
44439
528.0 IPS |
|
|
Face Detection (Q)
|
100% |
61791
734.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8875
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112518
866.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
183864
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
26037
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
229434
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296606
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45858
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78121
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5763
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6191
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16948
291.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16427
283.9 IPS |
