MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4796
Single Precision Score
29609
Half Precision Score
32650
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CelteX86 |
| Upload Date | February 27 2025 09:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1507
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
16152
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
17245
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21831
353.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26329
426.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16800
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120673
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
118774
139.2 IPS |
|
|
Object Detection (SP)
|
100% |
1985
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
16458
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16517
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4073
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
37940
450.8 IPS |
|
|
Face Detection (Q)
|
100% |
49298
585.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7395
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100624
775.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
114718
896.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30710
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
220040
282.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210765
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37525
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51732
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5338
92.2 IPS |
