MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4700
Single Precision Score
29619
Half Precision Score
33088
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 18 2025 06:08 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% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
15701
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
17553
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21688
351.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26521
429.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16166
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
119019
138.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
118617
139.0 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
16442
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
17889
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
38194
453.8 IPS |
|
|
Face Detection (Q)
|
100% |
48765
579.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7226
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103751
799.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
117183
916.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30264
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
218621
281.0 IPS |
|
|
Style Transfer (Q)
|
96% |
209730
270.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38412
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50679
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4833
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5061
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4733
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5181
89.5 IPS |
