MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4175
Single Precision Score
30509
Half Precision Score
34389
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brokenway |
| Upload Date | February 11 2025 01:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
16394
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
19192
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22120
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27125
439.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8953
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122261
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120486
141.2 IPS |
|
|
Object Detection (SP)
|
100% |
1840
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
17543
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20391
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
38618
458.9 IPS |
|
|
Face Detection (Q)
|
100% |
50568
600.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97573
751.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122768
959.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22379
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226173
290.7 IPS |
|
|
Style Transfer (Q)
|
96% |
219462
283.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5294
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46021
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57004
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4915
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
