MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4174
Single Precision Score
27941
Half Precision Score
31213
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 04:07 AM |
| Views | 2 |
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% |
1606
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
16023
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17787
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16410
266.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19548
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9016
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121115
141.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119635
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
17521
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20224
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
39276
466.7 IPS |
|
|
Face Detection (Q)
|
100% |
50452
599.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97414
750.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
121254
948.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22383
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226985
291.8 IPS |
|
|
Style Transfer (Q)
|
96% |
218639
282.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45712
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58321
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4888
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2737
47.3 IPS |
