MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4443
Single Precision Score
33120
Half Precision Score
35951
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | beret |
| Upload Date | May 18 2025 12:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.8 IPS |
|
|
Image Classification (HP)
|
100% |
17246
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
18912
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22157
359.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27860
451.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16561
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121059
141.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119187
139.7 IPS |
|
|
Object Detection (SP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
19491
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
20234
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
38477
457.2 IPS |
|
|
Face Detection (Q)
|
100% |
48870
580.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7093
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109317
842.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
126845
991.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30339
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
220609
283.6 IPS |
|
|
Style Transfer (Q)
|
96% |
211855
273.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45935
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54777
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5273
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7602
131.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7483
129.3 IPS |
