MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4164
Single Precision Score
30005
Half Precision Score
33770
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | November 14 2024 06:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
15709
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
18550
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22157
359.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27238
441.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8965
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121414
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119692
140.3 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
17065
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
19832
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
38831
461.4 IPS |
|
|
Face Detection (Q)
|
100% |
50104
595.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7251
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97430
750.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
121394
949.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22432
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
225261
289.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219987
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44969
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54481
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4737
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4732
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4519
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4663
80.6 IPS |
