MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3886
Single Precision Score
5412
Half Precision Score
4517
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | insomniagr |
| Upload Date | August 16 2024 08:24 AM |
| Views | 1 |
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 | 4.05 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
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
99% |
2006
374.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1418
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8733
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17192
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14588
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
2541
202.3 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
3342
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6791
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9808
75.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4584
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20127
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29399
37.8 IPS |
|
|
Style Transfer (Q)
|
100% |
30254
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4250
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
2723
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4555
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4557
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3009
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4736
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4871
84.2 IPS |
