MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4724
Single Precision Score
30417
Half Precision Score
28296
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Risto3 |
| Upload Date | April 19 2025 05:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (HP)
|
100% |
16319
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
17686
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21640
350.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27191
440.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16311
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119450
139.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
117837
138.1 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
100% |
19007
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
16696
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
37780
448.9 IPS |
|
|
Face Detection (Q)
|
100% |
49342
586.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7197
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100334
773.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
116903
914.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30196
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
223144
286.9 IPS |
|
|
Style Transfer (Q)
|
96% |
48414
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41470
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49255
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5011
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4787
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5282
91.3 IPS |
