MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18459
Single Precision Score
20725
Half Precision Score
18462
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | December 17 2024 12:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
8403
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
8441
1.57 KIPS |
|
|
Image Classification (Q)
|
97% |
7410
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16543
268.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17389
281.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18482
299.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92248
107.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
96187
112.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
89891
105.4 IPS |
|
|
Object Detection (SP)
|
100% |
7708
611.4 IPS |
|
|
Object Detection (HP)
|
100% |
8525
676.2 IPS |
|
|
Object Detection (Q)
|
91% |
7554
603.6 IPS |
|
|
Face Detection (SP)
|
100% |
33492
398.0 IPS |
|
|
Face Detection (HP)
|
100% |
37055
440.3 IPS |
|
|
Face Detection (Q)
|
100% |
27253
323.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38289
295.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41223
317.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
35178
274.9 IPS |
|
|
Style Transfer (SP)
|
100% |
192100
246.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205192
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188570
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24590
908.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25924
957.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21336
787.8 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5122
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4619
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2919
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2777
48.0 IPS |
