MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4812
Single Precision Score
22286
Half Precision Score
26289
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | September 10 2024 03:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.5 IPS |
|
|
Image Classification (HP)
|
100% |
6356
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
16415
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13765
223.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
13733
222.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16707
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116626
136.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
113611
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
15225
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16500
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4071
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
24626
292.6 IPS |
|
|
Face Detection (Q)
|
100% |
38220
454.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7311
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
83201
641.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
87022
672.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30777
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
166198
213.7 IPS |
|
|
Style Transfer (Q)
|
100% |
163678
210.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44039
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
52824
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4719
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2750
47.5 IPS |
