MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4826
Single Precision Score
30133
Half Precision Score
33187
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | February 09 2025 01:11 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
15821
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
18110
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21957
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26775
434.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16774
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120285
140.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
118731
139.2 IPS |
|
|
Object Detection (SP)
|
100% |
1990
157.8 IPS |
|
|
Object Detection (HP)
|
100% |
17560
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
16950
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
4125
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
37034
440.0 IPS |
|
|
Face Detection (Q)
|
100% |
49164
584.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7431
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101037
778.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
119663
935.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31209
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
218342
280.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210737
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42984
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52180
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2749
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5022
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4962
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4705
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4771
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5175
89.4 IPS |
