MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2554
Single Precision Score
16656
Half Precision Score
17748
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 07:52 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
7628
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
8412
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6693
108.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6709
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8461
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
102753
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
102639
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
9893
784.8 IPS |
|
|
Object Detection (Q)
|
93% |
10536
840.7 IPS |
|
|
Face Detection (SP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
13481
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
16044
190.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4774
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58607
451.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
63852
493.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12610
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
152128
195.6 IPS |
|
|
Style Transfer (Q)
|
100% |
153243
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21111
779.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26644
987.1 IPS |
|
|
Text Classification (SP)
|
100% |
601
802.2 IPS |
|
|
Text Classification (HP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4241
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2865
49.5 IPS |
