MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10574
Single Precision Score
12216
Half Precision Score
10287
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 04:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
5543
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5803
1.08 KIPS |
|
|
Image Classification (Q)
|
97% |
4342
810.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6905
111.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8572
139.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8647
140.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34849
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36668
42.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
34157
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
5501
436.3 IPS |
|
|
Object Detection (HP)
|
100% |
5842
463.4 IPS |
|
|
Object Detection (Q)
|
91% |
4696
375.3 IPS |
|
|
Face Detection (SP)
|
100% |
16157
192.0 IPS |
|
|
Face Detection (HP)
|
100% |
19587
232.7 IPS |
|
|
Face Detection (Q)
|
100% |
13926
165.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23106
178.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24884
191.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19672
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76937
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86574
111.3 IPS |
|
|
Style Transfer (Q)
|
96% |
80603
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13954
515.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15039
555.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10974
405.2 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4907
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1907
33.0 IPS |
