MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4704
Single Precision Score
30406
Half Precision Score
33633
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 03:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
16222
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
17959
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22082
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27028
438.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16252
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119568
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
117872
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
18783
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
18828
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3904
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
38688
459.7 IPS |
|
|
Face Detection (Q)
|
100% |
49119
583.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7125
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
106704
822.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124460
973.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30404
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
219786
282.5 IPS |
|
|
Style Transfer (Q)
|
96% |
212594
274.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39296
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51335
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2723
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4790
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4703
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5381
93.0 IPS |
