MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4816
Single Precision Score
30493
Half Precision Score
34128
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | May 18 2025 10:31 AM |
| Views | 4 |
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 | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1546
287.4 IPS |
|
|
Image Classification (HP)
|
100% |
16864
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
18584
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21794
353.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27871
451.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16631
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119722
139.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120565
141.3 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
18892
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
17182
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
37474
445.3 IPS |
|
|
Face Detection (Q)
|
100% |
50125
595.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7218
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
109870
846.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124976
977.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30271
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225261
289.6 IPS |
|
|
Style Transfer (Q)
|
96% |
211187
272.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5710
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38409
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52880
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4850
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4809
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5273
91.1 IPS |
