MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4169
Single Precision Score
31853
Half Precision Score
36467
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kizerking74 |
| Upload Date | November 10 2024 01:26 AM |
| Views | 7 |
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, 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% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
15928
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
18770
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21748
352.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26814
434.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8956
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121143
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120120
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
17265
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19886
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
38772
460.7 IPS |
|
|
Face Detection (Q)
|
100% |
50877
604.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7252
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96649
744.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
123363
964.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22546
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
224895
289.1 IPS |
|
|
Style Transfer (Q)
|
96% |
218031
281.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45606
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54465
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2776
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4828
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7998
137.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9696
167.6 IPS |
