MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4176
Single Precision Score
32014
Half Precision Score
36615
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:38 PM |
| Views | 2 |
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% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
15738
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
19112
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21720
352.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27129
439.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8965
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121646
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119879
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
17230
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20309
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3749
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
38786
460.9 IPS |
|
|
Face Detection (Q)
|
100% |
50433
599.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7277
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96868
746.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
121227
947.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22372
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
225317
289.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219193
282.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44993
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55121
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4936
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8330
143.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9411
162.6 IPS |
