MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3895
Single Precision Score
5501
Half Precision Score
4532
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | noctilust |
| Upload Date | August 17 2024 07:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.03 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
99% |
2100
391.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1531
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8453
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
16591
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14272
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
2516
200.3 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5026
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6576
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9462
73.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4608
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21046
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30984
39.8 IPS |
|
|
Style Transfer (Q)
|
100% |
30930
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4236
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4537
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4512
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4737
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4761
82.3 IPS |
