MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2457
Single Precision Score
16761
Half Precision Score
19010
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 02:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
7600
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
7858
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6660
108.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13009
210.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8436
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
103605
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103328
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
9858
782.0 IPS |
|
|
Object Detection (Q)
|
93% |
10504
838.2 IPS |
|
|
Face Detection (SP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
13533
160.8 IPS |
|
|
Face Detection (Q)
|
100% |
16000
190.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4457
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58404
450.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
70751
553.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12441
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152618
196.2 IPS |
|
|
Style Transfer (Q)
|
96% |
142027
183.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3344
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20786
767.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26452
976.7 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.0 IPS |
|
|
Text Classification (HP)
|
100% |
4748
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4632
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2844
49.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2821
48.7 IPS |
