MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4638
Single Precision Score
29747
Half Precision Score
33172
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.74 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
15874
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
17365
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21896
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27795
450.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15648
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
119670
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118675
139.1 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
16964
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
18136
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
37915
450.5 IPS |
|
|
Face Detection (Q)
|
100% |
49853
592.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7118
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99792
768.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
115414
902.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30426
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
218539
280.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210572
271.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5411
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39653
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49284
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4904
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5305
91.7 IPS |
