MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3924
Single Precision Score
5444
Half Precision Score
4528
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | strangecargo |
| Upload Date | August 15 2024 08:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.02 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
99% |
2033
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1437
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8678
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17071
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14490
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.2 IPS |
|
|
Object Detection (HP)
|
97% |
2543
202.5 IPS |
|
|
Object Detection (Q)
|
94% |
1929
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
5161
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
3372
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6739
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9787
75.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4685
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20724
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29713
38.2 IPS |
|
|
Style Transfer (Q)
|
100% |
29641
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5236
193.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4189
155.2 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4707
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4831
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4811
83.1 IPS |
