MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4152
Single Precision Score
26376
Half Precision Score
29566
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | December 18 2024 12:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1572
292.3 IPS |
|
|
Image Classification (HP)
|
100% |
15819
2.94 KIPS |
|
|
Image Classification (Q)
|
99% |
17446
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17382
281.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
17371
281.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8956
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116711
136.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
115622
135.6 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
15726
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
19389
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
25185
299.3 IPS |
|
|
Face Detection (Q)
|
100% |
40408
480.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7232
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80765
622.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
90029
696.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22400
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
166640
214.2 IPS |
|
|
Style Transfer (Q)
|
100% |
167309
215.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44115
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55326
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4729
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4718
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4729
81.7 IPS |
