MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4756
Single Precision Score
29949
Half Precision Score
33984
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 09:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
16602
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
18686
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21626
350.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27280
442.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16590
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119738
139.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119224
139.7 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
16787
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
20140
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
35517
422.0 IPS |
|
|
Face Detection (Q)
|
100% |
49788
591.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7095
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
102642
790.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
117064
915.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30371
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
219505
282.2 IPS |
|
|
Style Transfer (Q)
|
96% |
210659
271.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37865
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51619
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5007
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4790
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5291
91.4 IPS |
