MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4155
Single Precision Score
27739
Half Precision Score
31190
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | September 23 2024 11:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
16827
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
18468
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16329
264.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19378
314.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8950
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121726
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
119851
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
17789
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20328
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
32993
392.0 IPS |
|
|
Face Detection (Q)
|
100% |
48352
574.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7216
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96565
744.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123119
962.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22245
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
226669
291.4 IPS |
|
|
Style Transfer (Q)
|
96% |
221019
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46814
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57850
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4903
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2729
47.2 IPS |
