MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4710
Single Precision Score
7688
Half Precision Score
6133
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | savesteve |
| Upload Date | April 03 2026 07:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1488
276.8 IPS |
|
|
Image Classification (HP)
|
100% |
2471
459.6 IPS |
|
|
Image Classification (Q)
|
96% |
1822
340.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2705
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15646
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29850
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23324
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.8 IPS |
|
|
Object Detection (HP)
|
97% |
2868
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
2202
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
6778
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7038
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13149
101.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9056
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30644
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46130
59.3 IPS |
|
|
Style Transfer (Q)
|
96% |
35904
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7612
281.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4578
169.1 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5170
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7788
134.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7730
133.6 IPS |
