MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2529
Single Precision Score
16693
Half Precision Score
17752
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 02:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
1234
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
7541
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
8421
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6696
108.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6698
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8505
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
104244
121.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
103383
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
100% |
9892
784.7 IPS |
|
|
Object Detection (Q)
|
93% |
10546
841.5 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
13409
159.3 IPS |
|
|
Face Detection (Q)
|
100% |
15403
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4572
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59069
455.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
63302
489.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12459
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152659
196.2 IPS |
|
|
Style Transfer (Q)
|
100% |
153459
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21177
782.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26497
981.7 IPS |
|
|
Text Classification (SP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4393
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4464
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2857
49.4 IPS |
