MacBook Pro (16-inch, 2024)
Geekbench AI Score
5976
Single Precision Score
35712
Half Precision Score
48683
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sammysheep |
| Upload Date | December 08 2024 08:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
17348
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22180
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2551
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22622
366.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31256
506.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19182
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123206
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230074
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
17888
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
23396
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4875
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
43987
522.7 IPS |
|
|
Face Detection (Q)
|
100% |
63282
751.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9155
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109723
845.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
172179
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
37147
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233006
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296873
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44010
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76605
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4999
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6082
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16215
279.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16178
279.6 IPS |
