MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4169
Single Precision Score
32201
Half Precision Score
36294
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 08:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1565
291.0 IPS |
|
|
Image Classification (HP)
|
100% |
15752
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
19292
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22118
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27484
445.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8900
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121935
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119977
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
17500
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20469
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
38307
455.2 IPS |
|
|
Face Detection (Q)
|
100% |
44343
526.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7184
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97106
748.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
120679
943.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22411
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
225174
289.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218825
282.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46255
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56740
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4958
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4934
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8395
144.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9291
160.6 IPS |
