MacBook Pro (16-inch, Nov 2023, 128GiB RAM) MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4752
Single Precision Score
30349
Half Precision Score
33560
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | benchmark_agent |
| Upload Date | April 09 2025 12:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
16735
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
18258
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22046
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28003
454.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16693
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119610
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
117908
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
16611
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
16967
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
38391
456.2 IPS |
|
|
Face Detection (Q)
|
100% |
49970
593.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7082
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101276
780.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
118767
928.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30219
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
219319
281.9 IPS |
|
|
Style Transfer (Q)
|
96% |
209865
270.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5732
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43197
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52111
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5054
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5087
87.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5402
93.4 IPS |
