MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2509
Single Precision Score
16587
Half Precision Score
18767
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 15 2024 06:50 PM |
| Views | 12 |
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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
7407
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
7804
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6663
108.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13001
210.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8470
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
103247
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104066
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
9868
782.7 IPS |
|
|
Object Detection (Q)
|
93% |
10684
852.5 IPS |
|
|
Face Detection (SP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
13476
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
15724
186.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4546
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58877
453.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
70866
554.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12444
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153347
197.1 IPS |
|
|
Style Transfer (Q)
|
96% |
142199
183.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20460
755.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26615
982.8 IPS |
|
|
Text Classification (SP)
|
100% |
580
774.3 IPS |
|
|
Text Classification (HP)
|
100% |
4388
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2763
47.7 IPS |
