MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4139
Single Precision Score
27630
Half Precision Score
30872
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 11:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
15593
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20141
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1854
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16504
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19284
312.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8935
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122259
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119823
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
16987
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
19723
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
39368
467.8 IPS |
|
|
Face Detection (Q)
|
100% |
50008
594.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7246
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96433
743.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
119977
938.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22367
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
225056
289.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218903
282.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44480
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53317
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4725
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4677
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2616
45.2 IPS |
