MacBook Pro (16-inch, 2024)
Geekbench AI Score
23083
Single Precision Score
25671
Half Precision Score
23942
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | celticshade |
| Upload Date | February 25 2026 07:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9279
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9648
1.79 KIPS |
|
|
Image Classification (Q)
|
96% |
9008
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20665
335.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21350
346.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20207
327.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
77634
90.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
87935
102.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
84748
99.3 IPS |
|
|
Object Detection (SP)
|
100% |
8879
704.3 IPS |
|
|
Object Detection (HP)
|
100% |
9678
767.7 IPS |
|
|
Object Detection (Q)
|
91% |
8757
699.8 IPS |
|
|
Face Detection (SP)
|
100% |
36662
435.6 IPS |
|
|
Face Detection (HP)
|
100% |
40790
484.7 IPS |
|
|
Face Detection (Q)
|
100% |
37423
444.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42500
327.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46660
359.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
41520
324.9 IPS |
|
|
Style Transfer (SP)
|
100% |
187473
241.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200976
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194202
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25065
925.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25807
952.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22837
843.3 IPS |
|
|
Text Classification (SP)
|
99% |
6047
8.07 KIPS |
|
|
Text Classification (HP)
|
99% |
9167
12.2 KIPS |
|
|
Text Classification (Q)
|
92% |
9274
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
7339
126.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7836
135.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7169
123.9 IPS |
