MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4162
Single Precision Score
30340
Half Precision Score
34289
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 10:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
16143
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
19650
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21677
351.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26985
437.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8956
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122334
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120142
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
17551
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
19700
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
38717
460.0 IPS |
|
|
Face Detection (Q)
|
100% |
50596
601.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97325
749.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
122050
954.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22296
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227141
292.0 IPS |
|
|
Style Transfer (Q)
|
96% |
218855
282.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45615
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57367
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4954
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4503
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4661
80.5 IPS |
